
Kai Malcolm successfully defended his MS thesis, “A Federated Learning Framework for Personalized and Privacy-Preserving Biosignal Interfaces”. Congratulations!
Kai Malcolm successfully defended his MS thesis, “A Federated Learning Framework for Personalized and Privacy-Preserving Biosignal Interfaces”. Congratulations!
Dr. Yamagami presented her work on “Optimizing human-machine interfaces for health and accessibility” at the IEEE-BSN Conference in Chicago. Mikayla Deehring was also present at the conference. Great job!
Our lab’s work on inclusive EMG gesture recognition for individuals with motor disabilities was features on the Meta Quest Blog. The work was funded by a Meta gift in 2022 (Framework for Diverse EMG Gesture Recognition) which was renewed in 2023 for an extension project (Closing the Loop on Personalized EMG Gesture Recognition).
Congratulations to our 2024 summer REU students, Tony Martinez (Rice University, Computer Science) and Steven Chen (National Taiwan University, Biomechatronics Engineering) for finishing up their REU programs. They presented at the Rice Summer Undergraduate Research Symposium.
Stay tuned for the web demo, which will be available this fall on the website!
The Yamagami lab participated in the first Health Equity Workshop hosted by the Digital Health Initiative at Rice University. Momona Yamagami presented on “Accessible and Inclusive Digital Health Technologies for Ubiquitous Rehabilitation“. We also had poster presentations from Kai Malcolm and Mikayla Deehring:
Kai was selected to join the Bioelectronics NSF Research Traineeship program, which focuses on training PhD students to collaborate across different disciplines. Kai will be collaborating with other students to design new brain/body-machine interfaces to augment human capabilities for people with and without disabilities.
We are excited to continue developing personalized human-machine interfaces that adapt to the abilities of individual users and support their health and accessibility goals.